{"id":43449,"date":"2023-03-20T08:25:15","date_gmt":"2023-03-20T07:25:15","guid":{"rendered":"https:\/\/www.he-arc.ch\/?post_type=he-arc_event&p=43449"},"modified":"2023-03-20T08:25:16","modified_gmt":"2023-03-20T07:25:16","slug":"phd-defense-detection-and-characterization-of-appearance-change-by-imaging-and-artificial-vision-for-the-conservation-documentation-of-cultural-heritage-metal-objects","status":"publish","type":"he-arc_event","link":"https:\/\/www.he-arc.ch\/en\/agenda\/phd-defense-detection-and-characterization-of-appearance-change-by-imaging-and-artificial-vision-for-the-conservation-documentation-of-cultural-heritage-metal-objects\/","title":{"rendered":"PhD defense – “Detection and characterization of appearance change by imaging and artificial vision for the conservation documentation of cultural heritage metal objects”"},"content":{"rendered":"\n

We’re glad to invite you to the open presentation of Amalia Siatou PhD project that was conducted in collaboration between the Imaging and Artificial Vision Laboratory (ImViA), University of Burgundy France Compte (UBFC), Dijon-France, and the Dpt. of Conservation-Restoration of Haute Ecole Arc (HE-Arc CR), University of applied science and arts of Western Switzerland (HES-SO) in the framework of H2020 MSCA-ITN CHANGE.<\/p>\n\n\n\n

Link to the online defense<\/a><\/p>\n\n\n\n

The composition of the jury is the following:<\/strong><\/h3>\n\n\n\n
    \n
  • M. El Mustapha MOUADDIB – Rapporteur <\/li>\n\n\n\n
  • M. Jacek MARTUSEWICZ – Rapporteur<\/li>\n\n\n\n
  • Mme Val\u00e9rie GOUET-BRUNET – Examinatrice<\/li>\n\n\n\n
  • M. Antonino COSENTINO – Examinateur<\/li>\n\n\n\n
  • M. Ga\u00ebtan LE GOIC – Co-encadrant de th\u00e8se<\/li>\n\n\n\n
  • Mme Laura BRAMBILLA – Co-encadrant de th\u00e8se<\/li>\n\n\n\n
  • M. Christian DEGRIGNY – Co-encadrant de th\u00e8se <\/li>\n\n\n\n
  • M. Alamin MANSOURI – Directeur de th\u00e8se<\/li>\n<\/ul>\n\n\n\n

    Abstract<\/strong><\/h3>\n\n\n\n

    Current advances in imaging techniques allow for fast, easy-to-use, non-destructive instrumentation that can be routinely used to identify, understand, and predict surface alterations. To this extent, this thesis exploits Reflectance Transformation Imaging. This technique can accurately describe a surface’s appearance by collecting multiple images of the same scene, varying only the light positions around an object. The main interest is to propose methodologies for detecting surface optical properties, tracking their change over time, and isolating information related to surface changes. These methodologies are examined on cultural heritage metal objects to propose new conservation documentation tools for automating current processes. These tools can help identify the surface’s appearance characteristics and detect when and where a change occurs. Examples of corrosion evolution and cleaning treatments demonstrate their application.<\/p>\n","protected":false},"author":8,"featured_media":43452,"template":"","he-arc_domain":[5],"he-arc_event_category":[16],"class_list":["post-43449","he-arc_event","type-he-arc_event","status-publish","has-post-thumbnail","hentry","he-arc_domain-conservation-restauration","he-arc_event_category-seminaire-conference"],"acf":[],"yoast_head":"\nPhD defense - "Detection and characterization of appearance change by imaging and artificial vision for the conservation documentation of cultural heritage metal objects" - Haute-Ecole Arc<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.he-arc.ch\/en\/agenda\/phd-defense-detection-and-characterization-of-appearance-change-by-imaging-and-artificial-vision-for-the-conservation-documentation-of-cultural-heritage-metal-objects\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PhD defense - 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